Robling Announces Launch of Sell-Thru.AIRead

Sell-Thru.AI

Architecture Visualization

The following is a high-level reference architecture overview of Robling + Sell-Thru.AI. We crafted the below primarily to assist the CIO organization and AI Steering Committees in their high-level understanding. We are happy to discuss this architecture in more detail in a formal briefing.

Sell-Thru.AI
Operational PersonasMerch.MarketingOmni OpsStore OpsSupply ChainFinance / Execs
AI IntelligenceUX + natural language understanding & routing + deep reasoning guided response & context awareness + security & access controls (RBAC)
AI AnalystsDomain-specific expertSemantic model interaction
AI AgentsCross-domain, complex multi-step logic, workflowsMulti-analyst orchestrationSQL / ML / API orchestrate
Specialty Retail Semantic IQGrounded & encoded retail analytic knowledge (metrics, labels, descriptions, hierarchies, natural language LLM markers) purpose built for trustworthy AI
Semantic FoundationEntities, attributes, dimensions, measures, relationships
Specialty Retail Data Mart
BI Reports & DashboardsLooker, Power BI, Tableau, ThoughtSpot, Qlik, MicroStrategy, Excel
Robling
Specialty Retail Enterprise Data Model

Data Lake & Data Transformations

ConnectorsOracleMSFT DynamicsBlue Yonder (JDA)AptosManhattanCommerce Cloudcustom Extracts
Data SourcesCustomerMerch. / ERPE-commOrder MgmtWMSPlanning / Allocate

Retailer’s Own Enterprise Data Model & BI Infrastructure

Sell-Thru.AI

Sell-Thru.AI Components

The following describes the core Sell-Thru.AI layers and core components to enable speciality retail operators to have rapid answers to meaningful operational questions combined with role-aware proactive AI-driven insights.

  • Operational Personas

    Sell-Thru.AI is focused on serving the analytical and operational needs of Merchandising, Marketing, Omnichannel Operations, Store Operations, Supply Chain, Finance and Executive personas.

  • AI Intelligence

    This is the user experience (UX) + natural language understanding & routing + deep reasoning guided response & context awareness + security & access controls (RBAC) layer.

  • AI Agents

    This is the cross-domain, complex multi-step logic, workflows component. It coordinates multi-AI analyst orchestrations as well as SQL, built-in or custom ML, and API orchestrations.

  • AI Analysts

    This is the domain specific AI analyst component. AI analysts are aligned to and interact with specific semantic models and are experts in those models and the underlying data.

  • Specialty Retail Semantic IQ

    Grounded & encoded specialty retail analytic knowledge (metrics, labels, descriptions, hierarchies, natural language LLM markers) purpose built for trustworthy AI.

  • Semantic Foundation

    Entities, attributes, dimensions, measures, relationships.

  • Specialty Retail Data Mart

    Retail intelligence fabric in the form of a single-table, retail-native data mart designed to simplify AI, BI, and KPI workflows. Built to encode decades of specialty retail business logic into a consolidated model. Unifies disparate retail data sources into a single-table structure for fast analytics and AI reasoning, and provides a consistent, governed “truth layer.” Foundation for both for Sell-Thru.AI and Robling’s BI analytics offerings.

Sell-Thru.AI components
Robling components

Robling

Robling Components

The following describes the core Robling layers and components. Robling customers already have everything in place to easily explore the adoption of the Sell-Thru.AI application.

  • BI

    BI reporting and analytics layer field hardened w/ decades of experience, supports Looker, Power BI, Tableau, ThoughtSpot, Qlik, MicroStrategy, Excel and more.

  • Specialty Retail Data Mart

    Retail intelligence fabric in the form of a single-table, retail-native data mart designed to simplify AI, BI, and KPI workflows. Built to encode decades of specialty retail business logic into a consolidated model. Unifies disparate retail data sources into a single-table structure for fast analytics and AI reasoning, and provides a consistent, governed “truth layer.” Foundation for both Robling’s BI analytics offerings and for Sell-Thru.AI. Robling customers already have this in place to power Sell-Thru.AI use cases.

  • Specialty Retail Enterprise Data Model

    Unified schema that encodes the full breadth of a retailer’s operations — from product, store, customer, and calendar hierarchies to sales, inventory, margin, and promotion facts — into a consistent, governed structure. Field hardened w/ decades of specialty retail experience.

  • Data Lake & Data Transformations

    Serves as the raw landing zone for all retailer source systems, storing data in its original form for scalability and traceability. Through a series of data transformations — cleansing, harmonization, hierarchy mapping, and retail-specific business logic encoding — this raw data is standardized and reshaped into the governed Specialty Retail Enterprise Data Model and Data Mart that powers analytics, BI, and AI.

  • Connectors

    Oracle, MSFT Dynamics, Blue Yonder (JDA), Aptos, Manhattan Associates, Salesforce Commerce Cloud, and custom extracts.

  • Data Sources

    Customer, merchandising / ERP, e-commerce, order management, warehouse management (WMS), planning / allocation data source systems that feed into Robling.

Bring Your Own (BYO)

Retailer’s Enterprise Data Model & BI Infrastructure + Sell-Thru.AI

Speciality retailers may leverage their own enterprise data model and BI infrastructure while deploying the Sell-Thru.AI application and the Robling / Sell-Thru.AI Speciality Retail Data Mart.

  • Specialty Retail Data Mart

    Retail intelligence fabric in the form of a single-table, retail-native data mart designed to simplify AI, BI, and KPI workflows. Built to encode decades of specialty retail business logic into a consolidated model. Unifies disparate retail data sources into a single-table structure for fast analytics and AI reasoning, and provides a consistent, governed “truth layer.” Foundation for both Robling’s BI analytics offerings and for Sell-Thru.AI. This is a required Robling / Sell-Thru.AI layer for when a specialty retailer wishes to leverage their own enterprise data model and BI infrastructure.

  • Bring Your Own (BYO)

    Speciality retailers are able to "bring your own" enterprise data model and BI infrastructure and leverage the Sell-Thru.AI application. Requires deployment of the Robling / Sell-Thru.AI Speciality Retail Data Mart.

Bring your own components